GenDB

GenDB annotates prokaryotic genomes to identify, classify, and curate genes through automated and manual workflows for microbial genome projects.


Key Features:

  • Modular architecture: An object-oriented, modular architecture enhances adaptability for diverse annotation tasks.
  • Relational database backend: A robust relational database backend provides efficient data management and retrieval.
  • Application Programming Interface (API): A well-defined API enables integration and extensibility with other systems.
  • Annotation modes: Supports both automatic and manual gene annotation strategies.
  • Automated annotation: Automatic annotation performs preliminary identification, classification, and annotation of genes using a comprehensive suite of software tools.
  • Expert curation support: Automated results are intended to be followed by expert review and refinement to ensure high-quality annotations.
  • Evaluation framework: Provides a flexible framework for large-scale evaluation and comparison of annotation strategies.

Scientific Applications:

  • Microbial genome annotation: Produces annotated prokaryotic genomes for microbial genome projects.
  • Production annotation system: Functions as a production system for genome annotation across multiple microbial projects.
  • Annotation strategy benchmarking: Enables large-scale evaluation and comparison of different annotation strategies.

Methodology:

Uses an object-oriented modular architecture with a relational database backend and a defined API; supports automated gene identification, classification, and annotation via a comprehensive suite of software tools followed by manual expert review and refinement.

Topics

Collections

Details

License:
GPL-2.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
workflow
Operating Systems:
Linux, Windows, Mac
Programming Languages:
JavaScript
Added:
6/16/2016
Last Updated:
12/16/2018

Operations

Publications

Meyer F. GenDB--an open source genome annotation system for prokaryote genomes. Nucleic Acids Research. 2003;31(8):2187-2195. doi:10.1093/nar/gkg312. PMID:12682369. PMCID:PMC153740.

Documentation